Robots maintain localization even when features disappear by employing advanced techniques like sensor fusion and probabilistic methods to estimate their position relative to the environment. These methods often involve combining data from multiple sensors and using algorithms such as SLAM (Simultaneous Localization and Mapping) to build and update a map of the environment, allowing the robot to track its position even when certain features are not visible.

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